An Intelligent Distributed Ledger Construction Algorithm for IoT

【Author】 Rawlins, Charles C.; Jagannathan, S.

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】Blockchain is the next generation of secure data management that creates near-immutable decentralized storage. Secure cryptography created a niche for blockchain to provide alternatives to well-known security compromises. However, design bottlenecks with traditional blockchain data structures scale poorly with increased network usage and are extremely computation-intensive. This made the technology difficult to combine with limited devices, like those in Internet of Things networks. In protocols like IOTA, replacement of blockchain's linked-list queue processing with a lightweight dynamic ledger showed remarkable throughput performance increase. However, current stochastic algorithms for ledger construction suffer distinct trade-offs between efficiency and security. This work proposed a machine-learning approach with a multi-arm bandit that resolved these issues and was designed for auditing on limited devices. This algorithm was tested in a reinforcement-learning environment simulating the IOTA ledger's construction with a decision tree. This study showed through regret analysis and experimentation that this approach was secure against impulse manipulation attacks while remaining energy-efficient. Although the IOTA protocol was a pioneer for lightweight distributed ledgers, it is expected that future blockchain protocols will adopt techniques similar to those presented in this work.

【Keywords】Blockchains; Security; Protocols; Machine learning; Internet of Things; Distributed ledger; Performance evaluation; Blockchain security; distributed ledger technology; Internet of Things; machine learning; multi-arm bandit; regret analysis

【发表时间】2022

【收录时间】2022-02-10

【文献类型】期刊

【主题类别】

区块链技术--